# Caffe [](https://travis-ci.org/BVLC/caffe) [](LICENSE) Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ([BAIR](http://bair.berkeley.edu))/The Berkeley Vision and Learning Center (BVLC) and community contributors. Check out the [project site](http://caffe.berkeleyvision.org) for all the details like - [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p) - [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/) - [BAIR reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo) - [Installation instructions](http://caffe.berkeleyvision.org/installation.html) and step-by-step examples. ## Custom distributions - [Intel Caffe](https://github.com/BVLC/caffe/tree/intel) (Optimized for CPU and support for multi-node), in particular Xeon processors (HSW, BDW, SKX, Xeon Phi). - [OpenCL Caffe](https://github.com/BVLC/caffe/tree/opencl) e.g. for AMD or Intel devices. - [Windows Caffe](https://github.com/BVLC/caffe/tree/windows) ## Community [](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues). Happy brewing! ## License and Citation Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE). The BAIR/BVLC reference models are released for unrestricted use. Please cite Caffe in your publications if it helps your research: @article{jia2014caffe, Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor}, Journal = {arXiv preprint arXiv:1408.5093}, Title = {Caffe: Convolutional Architecture for Fast Feature Embedding}, Year = {2014} }